Imam Khambali^1,2,*, Budhi Priyanto^1,2, Retno Asih¹, Malik Anjelh Baqiya¹, Muhammad Mahyiddin Ramli³, Nurul Huda Osman⁴, Sarayut Tunmee⁵, Hideki Nakajima⁵, Triwikantoro¹, Mochamad Zainuri¹, Darminto^1,*

Journal of Renewable Materials, Vol.11, No.4, pp. 1823-1833, 2023, DOI:10.32604/jrm.2023.025026 - 01 December 2022

Abstract An rGO−like carbon compound has been synthesized from biomass, i.e., old coconut shell, by a carbonization process followed by heating at 400°C for 5 h. The nitrogen doping was achieved by adding the urea (CH₄N₂O) and stirring at 70°C for 14 h. The morphology and structure of the rGO-like carbon were investigated by electron microscopies and Raman spectroscopy. The presence of C-N functional groups was analyzed by Fourier transform infrared and synchrotron X-ray photoemission spectroscopy, while the particle and the specific capacitance were measured by particle sizer and cyclic voltammetry. The highest specific capacitance of 72.78 More > Graphic Abstract

Junshan Zhao^1,#, Yihan Shi^1,#, Ming Zhang¹, Liu Zhang¹, Xumei Cui¹, Xinghua Zhu², Jitong Su¹, Dandan Jing¹, Dingyu Yang^1,*

Journal of Renewable Materials, Vol.11, No.1, pp. 79-91, 2023, DOI:10.32604/jrm.2023.022030 - 10 August 2022

Abstract In this paper, the non-polluting, non-toxic, and eco-friendly material-MnO₂ electrodes were deposited on three-dimensional porous nickel (Ni) foam by linear sweep voltammetry, and the entire electrodeposition process did not require sintering of the material, which was fast and convenient while avoiding unnecessary energy consumption and thus was environmentally friendly. Scanning electron microscopy (SEM) and transmission electron microscopy were used to examine the surface and microscopic characteristics of each sample (TEM). Chronoamperometry (CA), cyclic voltammetry (CV), galvanostatic charge/discharge (GCD), and electrochemical impedance spectroscopy (EIS) were then used to determine the electrochemical characteristics of the manufactured samples. The More >

Wael Deabes^1,2,*, Kheir Eddine Bouazza^1,3

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6307-6326, 2022, DOI:10.32604/cmc.2022.030420 - 28 July 2022

Abstract Great achievements have been made during the last decades in the field of Electrical Capacitance Tomography (ECT) image reconstruction. However, there is still a need to make these image reconstruction results faster and of better quality. Recently, Deep Learning (DL) is flourishing and is adopted in many fields. The DL is very good at dealing with complex nonlinear functions and it is built using several series of Artificial Neural Networks (ANNs). An ECT image reconstruction model using DNN is proposed in this paper. The proposed model mainly uses Residual Autoencoder called (ECT_ResAE). A large-scale dataset… More >

Ningbo Jing¹, Mingqiao Li¹, Lang Liu^2,*, Yutong Shen¹, Peijiao Yang¹, Xuebin Qin¹

CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.1, pp. 465-476, 2022, DOI:10.32604/cmes.2022.018965 - 24 January 2022

Abstract During mine filling, the caking in the pipeline and the waste rock in the filling slurry may cause serious safety accidents such as pipe blocking or explosion. Therefore, the visualization of the inner mine filling of the solid–liquid two-phase flow in the pipeline is important. This paper proposes a method based on capacitance tomography for the visualization of the solid–liquid distribution on the section of a filling pipe. A feedback network is used for electrical capacitance tomography reconstruction. This reconstruction method uses radial basis function neural network fitting to determine the relationship between the capacitance… More >

Xuebin Qin^1,*, Yutong Shen¹, Jiachen Hu¹, Mingqiao Li¹, Peijiao Yang¹, Chenchen Ji¹, Xinlong Zhu²

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.3, pp. 1699-1717, 2022, DOI:10.32604/cmes.2022.018234 - 30 December 2021

Abstract Electrical capacitance tomography (ECT) has great application potential in multiphase process monitoring, and its visualization results are of great significance for studying the changes in two-phase flow in closed environments. In this paper, compressed sensing (CS) theory based on dictionary learning is introduced to the inverse problem of ECT, and the K-SVD algorithm is used to learn the overcomplete dictionary to establish a nonlinear mapping between observed capacitance and sparse space. Because the trained overcomplete dictionary has the property to match few features of interest in the reconstructed image of ECT, it is not necessary More >

Wenru Fan, Chi Wang^*

Structural Durability & Health Monitoring, Vol.14, No.4, pp. 303-314, 2020, DOI:10.32604/sdhm.2020.011009 - 04 December 2020

Abstract Due to the widespread use of carbon fiber reinforced polymer/plastic (CFRP), the nondestructive structural health monitoring for CFRP is playing an increasingly essential role. As a nonradiative, noninvasive and nondestructive detection technique, planar electrical capacitance tomography (PECT) electrodes array is employed in this paper to reconstruct the damage image according to the calculated dielectric constant changes. The shape and duty ratio of PECT electrodes are optimized according to the relations between sensitivity distribution and the dielectric constant of different anisotropic degrees. The sensitivity matrix of optimized PECT sensor is more uniform as the result shows, More >

Nishit Savla¹, Raksha Anand², Soumya Pandit^2,*, Ram Prasad^3,*

Journal of Renewable Materials, Vol.8, No.12, pp. 1581-1605, 2020, DOI:10.32604/jrm.2020.011803 - 12 November 2020

Abstract Microbial fuel cells (MFCs) are an attractive innovation at the nexus of energy and water security for the future. MFC utilizes electrochemically active microorganisms to oxidize biodegradable substrates and generate bioelectricity in a single step. The material of the anode plays a vital role in increasing the MFC’s power output. The anode in MFC can be upgraded using nanomaterials providing benefits of exceptional physicochemical properties. The nanomaterials in anode gives a high surface area, improved electron transfer promotes electroactive biofilm. Enhanced power output in terms of Direct current (DC) can be obtained as the consequence More >